import torch
import torchvision
from torch import nn
from torchvision.models import vgg16,AlexNet


img=torch.rand(1,3,600,800)

backbone=vgg16().features[:28]

# print(backbone)


## backbone -> feature_map
feature_map=backbone(img)

# print(feature.size())


#####################################RPN#############################

